2019
DOI: 10.1177/0036850419877762
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Research on braking energy recovery strategy of electric vehicle based on ECE regulation and I curve

Abstract: Electric vehicles can convert the kinetic energy of the vehicle into electric energy for recycling. A reasonable braking force distribution strategy is the key to ensure braking stability and the energy recovery rate. For an electric vehicle, based on the ECE regulation curve and ideal braking force distribution (I curve), the braking force distribution strategy of the front and rear axles is designed to study the braking energy recovery control strategy. The fuzzy control method is adopted while the charging … Show more

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Cited by 32 publications
(21 citation statements)
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“…According to the distribution range restricted by ECE-R13 braking regulations, the ideal braking distribution I curve and F group line [14], combined with the advantages of a traditional ideal braking distribution method, parallel braking force distribution method and maximum energy recovery distribution method, a braking force distribution control strategy for front and rear axles based on braking strength is proposed.…”
Section: Braking Mode Division and Braking Force Distributionmentioning
confidence: 99%
“…According to the distribution range restricted by ECE-R13 braking regulations, the ideal braking distribution I curve and F group line [14], combined with the advantages of a traditional ideal braking distribution method, parallel braking force distribution method and maximum energy recovery distribution method, a braking force distribution control strategy for front and rear axles based on braking strength is proposed.…”
Section: Braking Mode Division and Braking Force Distributionmentioning
confidence: 99%
“…When it comes to the design of braking system for EVs, the braking energy recovery should be highly considered. Therefore, the braking force distribution curve should be designed between the I-curve and ECE regulation curve [31], [32]. In this paper, a partition braking force distribution strategy is designed and applied according to braking intensity [33], where five regions are divided as shown in Fig.…”
Section: B Braking Force Distributionmentioning
confidence: 99%
“…Li et al [13] proposed an adaptive online prediction method with a variable prediction range. Li et al [14] applied a fuzzy control method to design a braking control strategy and verified the effectiveness of the strategy through simulation. Ko et al [15] proposed an effective regenerative braking coordinated control algorithm to improve the energy recovery rate when the wheels are unlocked.…”
Section: Introductionmentioning
confidence: 99%